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Identifying the specific location of data in databases and documenting the calculation methods that will be used ensures reliability and consistency across time and reports. It is critical not to assume that the data being collected and stored in the relevant HR information system (HRIS, TMS, ATS, LMS, Payroll, etc.) is being done consistently and reliably. The data's accuracy and the credibility of resulting metrics and analyses rely on this.
Developing a "data dictionary" - a document that clearly lays out each metric name and the attributes of the data (e.g., data type, standard format, size, content, etc.) - helps ensure that anyone who enters the data into a system or spreadsheet does so in the exact format, size, and style. The dictionary should be treated as an ongoing, always-current document updated as new fields or calculation methods that impact the data needed to produce various metrics are introduced.
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